| 来源类型 | Publication |
| Exploiting Spatial Dependence to Improve Measurement of Neighborhood Social Processes | |
| Natalya Verbitsky-Savitz; Stephen W. Raudenbush | |
| 发表日期 | 2009-08-30 |
| 出版者 | Sociological Methodology, vol. 39, issue 1 |
| 出版年 | 2009 |
| 语种 | 英语 |
| 概述 | A number of recent studies have used surveys of neighborhood informants and direct observation of city streets to assess aspects of community life such as collective efficacy, the density of kin networks, and social disorder. ", |
| 摘要 | A number of recent studies have used surveys of neighborhood informants and direct observation of city streets to assess aspects of community life such as collective efficacy, the density of kin networks, and social disorder. The authors compare three estimators of a neighborhood social process: the ordinary least squares estimator (OLS), an empirical Bayes estimator based on the independence assumption (EBE), and an empirical Bayes estimator that exploits spatial dependence (EBS). Under the model assumptions, EBS performs better than EBE and OLS in terms of expected mean squared error loss. The benefits of EBS relative to EBE and OLS depend on the magnitude of spatial dependence, the degree of neighborhood heterogeneity, as well as neighborhood's sample size. The theoretical findings are also confirmed empirically using the data from the Project on Human Development in Chicago Neighborhoods. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/exploiting-spatial-dependence-to-improve-measurement-of-neighborhood-social-processes |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/486288 |
| 推荐引用方式 GB/T 7714 | Natalya Verbitsky-Savitz,Stephen W. Raudenbush. Exploiting Spatial Dependence to Improve Measurement of Neighborhood Social Processes. 2009. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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